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Video Making
作者
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
66
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-making
功能描述
Skip the learning curve of professional editing software. Describe what you want — trim the footage, add background music, and export as a shareable video —...
安全使用建议
This skill appears to genuinely implement a cloud-based video editor: it uploads videos to https://mega-api-prod.nemovideo.ai, creates a session, and returns a downloadable MP4. Before installing or using it, consider the following: 1) You will be uploading your video files to an external service — do not upload sensitive or private footage without verifying the service's privacy policy and ownership. 2) The skill can obtain an anonymous token automatically; that reduces the need to supply a secret, but still results in remote processing of your data. 3) Ask the publisher for provenance (homepage, owner identity) and clarify the config-path discrepancy (~/.config/nemovideo/ appears in the SKILL.md but not the registry metadata). 4) If you want to avoid any local filesystem probing, ask whether the skill really needs to detect install paths (~/.clawhub or ~/.cursor) or access ~/.config/nemovideo/. 5) If you proceed, monitor network requests and review any returned URLs before clicking downloads. If the publisher cannot be verified or you need stronger assurances about data handling, do not install or use the skill.
功能分析
Type: OpenClaw Skill
Name: video-making
Version: 1.0.0
The 'video-making' skill is a legitimate integration for the nemovideo.ai cloud service, providing capabilities for video editing, rendering, and exporting. It handles authentication via the NEMO_TOKEN environment variable or an anonymous token generation process and includes clear instructions for the AI agent to manage sessions, file uploads, and SSE streams. The skill demonstrates security-conscious design by instructing the agent not to expose tokens or raw API output, and its behaviors (such as file uploads and network requests to mega-api-prod.nemovideo.ai) are strictly aligned with its stated purpose of video processing.
能力评估
Purpose & Capability
The skill's declared purpose (cloud video editing/export) matches the runtime instructions to call a remote rendering API and upload video files. Requiring a NEMO_TOKEN (and offering to obtain an anonymous token) is coherent for a cloud service. However, the package provenance is missing (no homepage, unknown source) and the SKILL.md frontmatter includes a config path (~/.config/nemovideo/) that is not listed in the registry metadata — an inconsistency worth questioning.
Instruction Scope
The SKILL.md instructs the agent to: look for NEMO_TOKEN in env, otherwise POST to an auth endpoint to obtain an anonymous token; create sessions, upload files (multipart or by URL), open SSE streams, poll render endpoints, and return download URLs. These actions are expected for a cloud render skill. Concerns: it suggests detecting the install path and setting an X-Skill-Platform header based on existence of ~/.clawhub or ~/.cursor/skills/, and the frontmatter references a config path (~/.config/nemovideo/) — both imply reading filesystem state beyond just the token and could reveal local environment structure. The instructions also say 'Don't expose tokens or raw API output' which is good, but there's broad discretion in mapping GUI actions to API calls (SSE and polling), so review network behavior before trusting with sensitive data.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so it does not write files or install third-party packages. That is the lowest-risk install mechanism.
Credentials
Only one environment credential is declared (NEMO_TOKEN), which is proportionate for a cloud video service. The SKILL.md also declares a config path in its internal metadata (~/.config/nemovideo/) that could suggest reading files from that directory; the registry's top-level metadata did not list config paths. That mismatch should be clarified. The skill does not request unrelated credentials.
Persistence & Privilege
The skill is not marked always:true and is user-invocable; it does not request persistent or elevated platform privileges. Autonomous invocation (disable-model-invocation=false) is the platform default and not, by itself, a problem.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install video-making - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-making触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of the video-making skill: create, edit, and export finished videos quickly from raw footage.
- Supports uploading MP4, MOV, AVI, and WebM files up to 500MB.
- Automatic connection and session setup with up to 100 free credits for new users.
- Simple natural language commands to trim footage, add background music, and export shareable MP4 videos in 1-2 minutes.
- Cloud-based GPU rendering handles all processing — no installation or complex editing required.
- Provides workflow for quick edits, batch processing, and iterative refinement with clear status updates.
- Guides users through supported actions, error handling, and file format compatibility.
元数据
常见问题
Video Making 是什么？
Skip the learning curve of professional editing software. Describe what you want — trim the footage, add background music, and export as a shareable video —... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 66 次。
如何安装 Video Making？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-making」即可一键安装，无需额外配置。
Video Making 是免费的吗？
是的，Video Making 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Making 支持哪些平台？
Video Making 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Video Making？
由 linmillsd7（@linmillsd7）开发并维护，当前版本 v1.0.0。
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